code: def test_input_nonbinary():
      y_target = np.array([0, 0, 0, 0, 0, 2, 1, 1, 1, 1])
      y_model1 = np.array([0, 5, 0, 0, 0, 2, 1, 0, 0, 0])
      y_model2 = np.array([0, 0, 1, 3, 0, 2, 1, 0, 0, 0])
  
      tb = mcnemar_table(
          y_target=y_target, y_model1=y_model1, y_model2=y_model2
      )
      expect = np.array([[4, 2], [1, 3]])
  
      np.testing.assert_array_equal(tb, expect)
  
file_path: mlxtend/mlxtend/evaluate/tests/test_mcnemar_table.py
imports: import numpy
  from mlxtend.evaluate import mcnemar_table
  from mlxtend.utils import assert_raises
label_desc: Use image node_id 7 for calling a global function with example usage: test_input_nonbinary() without return types